Literature Survey on Multimedia Data Retrieval Techniques Using Data Mining

D. Saravanan*
*Associate Professor, IFHE University, IBS Hyderabad, Telangana, India.
Periodicity:January - March'2016
DOI : https://doi.org/10.26634/jse.10.3.4902

Abstract

Data mining is a process of extracting facts from a given huge set of data. Of the available huge data set, multimedia is one which contains diverse data such as audio, video, image, text and motion, and such video data play a vital role in the field of video data mining. For extracting information from this huge content, we need special techniques. Because of numerous devices like cell phones, tablets, and other electronic devices available today, we can upload images or video data very easily. Today information comes in the form of electronic information instead of text information. Most of the information like news, entertainment, books, healthcare and weather forecasts are in the electronic form. Among this information the acquisition and storage of video data is an easy task, but retrieval of information from video data is challenging. This paper brings some of these issues and challenges involved in image extraction using data mining techniques.

Keywords

Data Mining, Image Extraction, Knowledge Extraction, Feature Extraction, Knowledge Discovery, Data Sets, Image Retrieval

How to Cite this Article?

Saravanan, D. (2016). Literature Survey on Multimedia Data Retrieval Techniques Using Data Mining. i-manager’s Journal on Software Engineering, 10(3), 27-33. https://doi.org/10.26634/jse.10.3.4902

References

[1]. Liujuan Cao A, Rongrong Ji B.N., Yue Gao C, Wei Liu B., and Qi Tian, (2012). “Mining Spatiotemporal video patterns towards robust action retrieval”. Elsevier 17.
[2]. X. Wu, C.-W. Ngo, A. Hauptmann, and H.-K. Tan, (2009). “Real-Time Near-Duplicate Elimination for Web Video Search with Content and Context”.
[3]. D. Saravanan, V. Somasundaram, (2014). “Matrix Based Sequential Indexing Technique for Video Data Mining”. Journal of Theoretical and Applied Information Technology, Vol.67, No.3, pp.725-731.
[4]. T. C Hoad and J. Zobel, (2006). “Detection of Video Sequences using Compact Signatures ”. ACM Transactions on Information Systems, Vol.24, No.1, pp.1- 50.
[5]. K. Aizawa, Y. Nakamura, and S. Satoh (Eds.), (2004). “Fast and Robust short Video clip search for copy Detection”. PCM 2004, LNCS 3332, pp.479-488, Springer- Verlag Berlin Heidelberg.
[6]. Gerhard Roth, Robert Laganière, Patrick Lambert, Ilias Lakhmiri, and Tarik Janati, (2010). “A Simple but Effective Approach to Video Copy Detection”. Computer and Robot Vision (CRV), Canadian Conference, pp.63- 70.
[7]. X. Zhou, L. Chen, A. Bouguettaya, Y. Shu, X. Zhou, and J.A. Taylor, (2010). “Adaptive Subspace Symbolization for Content-Based Video Detection,” IEEE Trans. Knowledge and Data Eng., Vol.22, No.10, pp.1372-1387.
[8]. D. Saravanan, (2015). “Text information Reterival using Data mining Clustering Technique”. International Journal of Applied Engg. Research, Vol.10, No.3, pp.7865-7873.
[9]. D. Saravanan, (2015). “Effective Multimedia Content Retrieval”. International Journal of Applied Environmental Sciences, Vol.10, No.5, pp.1771-17783.
[10]. A. Natsev, R. Rastogi, and K. Shim, (1999). “WALRUS: A Similarity Retrieval Algorithm for Image Databases,” in Proc. ACM SIGMOD Int. Conf. Management of Data, pp.395-406.
[11]. J. Li, J.Z. Wang, and G. Wiederhold, (2000). “IRM: Integrated Region Matching for Image Retrieval,” in Proc. th of the 8 ACM Int. Conf. on Multimedia, pp.147-156.
[12]. V. Mezaris, I. Kompatsiaris, and M. G. Strintzis, (2004). “Region-based Image Retrieval using an Object Ontology and Relevance Feedback,” in Eurasip Journal on Applied Signal Processing, Vol.2004, No.6, pp.886- 901.
[13]. Mei-Chen Yeh and K. J.Tim Cheng (2009). “Video th Copy Detection by Fast Sequence Matching”. Proc. 8 ACM International Conference on Image and Data Retrieval, CIVR 2009, Greece.
[14]. A. Ronald Tony, D. Saravanan, (2015). Text Taxonomy using Data mining clustering system, Asian Journal of Information Technology, Vol.14(3), pp.97-104.
[15]. Kwang-Ting Cheng and Mei-Chen Yeh, (2009). “Video Copy Detection by Fast Sequence Matching”. Proceedings of the ACM International Conference on Image and Video Retrieval, ISBN: 978-1-60558-480-5.
[16]. JunsongYuan, Ling-Yu Duan, Qi Tian, Surendra Ranganath and Changsheng Xu, (2004). “Fast and Robust Short Video Clip Search for Copy Detection”. Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing, pp. 479-488.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.